Datasets:
Modalities:
Image
Languages:
English
Size:
10K<n<100K
ArXiv:
Tags:
computer-vision
vision-language
visual-question-answering
image-segmentation
object-detection
image-classification
License:
Update README.md
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README.md
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Structured metadata derived from visual annotations, such as bounding boxes, pixel area, and skeleton length, is used to support grounded and low-hallucination question answering. :contentReference[oaicite:8]{index=8}
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## Data Collection
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Raw pavement images were collected using a highway inspection vehicle traveling at approximately **80 km/h**. The acquisition system uses a high-resolution line-scan camera to capture orthographic views of asphalt pavement. The collected continuous scans were processed using a standard enhancement pipeline including:
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- denoising
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- sharpening
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- contrast enhancement
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- histogram equalization
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These steps improve the visibility of pavement distress while reducing background noise. :contentReference[oaicite:9]{index=9}
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## Dataset Statistics
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According to the paper:
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Structured metadata derived from visual annotations, such as bounding boxes, pixel area, and skeleton length, is used to support grounded and low-hallucination question answering. :contentReference[oaicite:8]{index=8}
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## Dataset Statistics
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According to the paper:
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